Drug likeliness, pharmacokinetics profiling and efficacy of Polyscias fulva bioactive compounds in the management of uterine fibroids; An integrative in silico and in vivo approach

IF 2.7 4区生物学 Q2 BIOCHEMICAL RESEARCH METHODS

Journal of molecular graphics & modelling Pub Date : 2025-02-19 DOI:10.1016/j.jmgm.2025.108984

Kenedy Kiyimba , Lincoln Munyendo , Samuel Baker Obakiro , Yahaya Gavamukulya , Ayaz Ahmed , Mohammed Iqbal Choudhary , Muhammad Shafiq , Zaheer Ul-Haq , Eric Guantai

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引用次数: 0

Abstract

Polyscias fulva is traditionally used in Uganda for the management of Uterine fibroids (UF). However, there is paucity of data regarding its efficacy, biological targets and potential mechanisms of action hence prompting scientific validation process through insilico and invivo approaches. In this study, we utilized network pharmacology, molecular docking, molecular dynamic simulations and invivo assays to investigate the drug likeliness, pharmacokinetics and efficacy of Polyscias fulva against Uterine fibroids.

Four Polyscias fulva bioactive compounds; pinoresinol, lichexanthone, methyl atarate, β-sitosterol exhibited drug likeness properties with moderate safety profiles. Forty-eight (48) uterine fibroid targets were identified as potential targets for the eleven Polyscias fulva compounds. Protein-protein interaction (PPI) analysis revealed four key targets (HIF1A, ESR1, EGFR, and CASP3). The KEGG pathway and GO enrichment analyses revealed that these key targets play significant roles in regulating the positive regulation of cyclin-dependent protein serine/threonine kinase activity, positive regulation of nitric-oxide synthase activity and positive regulation of transcription, DNA-templated. β-sitosterol demonstrated the strongest binding affinity with the four targets, showing particularly strong affinities for EGFR (−9.75 kcal/mol) and HIF1A (−9.21 kcal/mol). Molecular dynamics (MD) simulations revealed high stability in these protein-ligand complexes, with CASP3 displaying the lowest deviation and most consistent RMSD (0.14 nm) of the protein, followed by EGFR (0.25), HIF1A (0.29), and ESR1 (0.79). In-vivo evaluation on female Wistar rats with Polyscias fulva ethanolic extract showed an ameliorative effect of the extracts against monosodium glutamate-induced (MSG) UF. Treated animals exhibited a decrease in serum proteins, cholesterol, estrogen, and progesterone levels (P < 0.05) and the extract preserved uterine tissue histoachitecture as compared to controls. In conclusion, Polyscias fulva demonstrates potential ameliorative activity against UF with promising pharmacokinetic properties and safety profiles.

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来源期刊

Journal of molecular graphics & modelling 生物-计算机：跨学科应用

CiteScore

5.50

自引率

6.90%

发文量

216

审稿时长

35 days

期刊介绍： The Journal of Molecular Graphics and Modelling is devoted to the publication of papers on the uses of computers in theoretical investigations of molecular structure, function, interaction, and design. The scope of the journal includes all aspects of molecular modeling and computational chemistry, including, for instance, the study of molecular shape and properties, molecular simulations, protein and polymer engineering, drug design, materials design, structure-activity and structure-property relationships, database mining, and compound library design. As a primary research journal, JMGM seeks to bring new knowledge to the attention of our readers. As such, submissions to the journal need to not only report results, but must draw conclusions and explore implications of the work presented. Authors are strongly encouraged to bear this in mind when preparing manuscripts. Routine applications of standard modelling approaches, providing only very limited new scientific insight, will not meet our criteria for publication. Reproducibility of reported calculations is an important issue. Wherever possible, we urge authors to enhance their papers with Supplementary Data, for example, in QSAR studies machine-readable versions of molecular datasets or in the development of new force-field parameters versions of the topology and force field parameter files. Routine applications of existing methods that do not lead to genuinely new insight will not be considered.